We’ll showcase an AI-powered multi-agent system designed to keep your technical processes running smoothly—day and night. The demo integrates with typical industrial automation setups, featuring:
• real-time machine monitoring,
• autonomous ticketing and fault classification,
• self-directed diagnosis, and
• automated resolution of simulated anomalies across common manufacturing scenarios.
Unlike traditional OEE or MES dashboards, which primarily monitor and visualize machine states, our agentic AI takes the next step—it can decide, plan, and actautonomously within defined safety and process boundaries. It does not just alert operators to problems—it initiates corrective measures itself, using knowledge-based reasoning, historical context, and real-time data streams.
• Maximized Uptime:Immediate, autonomous issue handling reduces downtime—without adding more dashboards or manual workflows.(Integrates seamlessly with existing OEE monitoring, predictive maintenance tools, and condition-based alerting systems.)
• Smarter, Autonomous Decisions:Our AI agents leverage both historical maintenance data and current machine telemetry to choose the optimal corrective action—even for complex or ambiguous cases that conventional rule-based systems cannot resolve.[Comment: Good spot to highlight compatibility with systems like Siemens MindSphere, Beckhoff TwinCAT, or OPC UA standards.]
• Human Collaboration, Only When Needed:For mechanical interventions or safety-critical tasks, the agent automatically escalates to human technicians—ensuring that people remain in control while repetitive digital processes are handled autonomously.
• Visual & Intuitive:Watch each step—from anomaly detection to resolution—displayed across multiple screens for transparent AI reasoning and traceable decision logic.
• Easy Integration:Designed to plug into existing industrial IT/OT infrastructure, including MES, CMMS, and SCADA environments. This provides a practical, low-risk path toward higher process autonomy.
• Reduce unplanned downtimes and maintenance costs
• Modernize process control with AI-driven autonomy
• Move beyond monitoring—toward self-healing production systems
• Explore the practical applications of agentic AI within existing Industry 4.0 architectures
Curious how this could apply to your production environment?
Visit our booth at SPS to see agentic AI in action—and discover how autonomous decision systems can work alongside your existing OEE, MES, and automation tools to boost efficiency and resilience.
From vision to reality – shape the future with us!
